Liberatore Grace, Brenner Jack, Franco Julian, Milanaik Ruth
Cohen Children's Medical Center, Developmental and Behavioral Pediatrics, Northwell, New Hyde Park, New York, USA.
Curr Opin Pediatr. 2025 Jun 1;37(3):289-295. doi: 10.1097/MOP.0000000000001452. Epub 2025 Mar 19.
Increased incorporation of artificial intelligence in medicine has raised questions regarding how it can enhance efficiency in concert with providing accurate medical information without violating patient privacy. Pediatricians should understand the impact of AI in terms of both their daily practice and the changing landscape of the medical field.
Computer vision modeling and large language models have been designed for diagnostic and predictive health outcomes purposes; yet many still lack external validity and reliability. Artificial intelligence can also increase efficiency in electronic health record documentation. Despite potential benefits, legal and ethical concerns are raised with patient data that is stored and used by artificial intelligence models. More research is recommended before artificial intelligence is fully implemented into medical practice.
Utilizing artificial intelligence in medical practice and medical education as supplemental tools, rather than in replacement of traditional methods, may result in more efficient medical practice and enhanced methods of studying. Yet, there needs to be a balance such that overreliance does not result in automatic trusting of potentially misinformation. Increased oversight and regulation of artificial intelligence in medicine is crucial to ensure legal and ethical approaches that protect patient privacy.
人工智能在医学领域的应用日益增加,引发了关于它如何在不侵犯患者隐私的情况下,与提供准确医疗信息协同提高效率的问题。儿科医生应从日常实践和医学领域不断变化的格局两方面理解人工智能的影响。
计算机视觉建模和大语言模型已被设计用于诊断和预测健康结果;然而,许多模型仍缺乏外部有效性和可靠性。人工智能还可以提高电子健康记录文档的效率。尽管有潜在益处,但人工智能模型存储和使用的患者数据引发了法律和伦理问题。在人工智能全面应用于医疗实践之前,建议进行更多研究。
在医疗实践和医学教育中,将人工智能用作补充工具,而非取代传统方法,可能会带来更高效的医疗实践和更好的学习方法。然而,需要保持平衡,以免过度依赖导致对潜在错误信息的盲目信任。加强对医学领域人工智能的监督和监管,对于确保保护患者隐私的合法和道德方法至关重要。